Principal components based support vector regression model for on-line instrument calibration monitoring in NPPS /

Samankaltaisia teoksia

• Checking dimensionality in item response models with principal component analysis on standardized residuals /
  Tekijä: Chou, Yeh-Tai.
• A soft-sensing model for feedwater flow rate using fuzzy support vector regression /
  Tekijä: Na, Man-Gyun.
• An Improvement of Structural – Twin Support Vector Machine
  Tekijä: Nguyen, The Cuong, et al.
  Julkaistu: (2022)
• A hybrid model of least squares support vector regression and particle swarm optimization for Vietnam stock market analysis
  Tekijä: Le, Thuy Linh, et al.
  Julkaistu: (2021)
• Application of the principal component analysis to explore the relation between land use and solid waste generation in the Duy Tien district, Ha Nam province, Vietnam /
  Tekijä: Phan Van Cu.